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Salience Network of the Human Brain focuses on the multiple sources of stimuli that compete for our attention, providing interesting discussions on how the relative salience-importance or prominence-of each of these inputs determines which ones we choose to focus on for more in-depth processing. The salience network is a collection of regions of the brain that select which stimuli are deserving of our attention. The network has key nodes in the insular cortex and is critical for detecting behaviorally relevant stimuli and for coordinating the brain''s neural resources in response to these stimuli. The insular cortex is a complex and multipurpose structure that plays a role in numerous cognitive functions related to perception, emotion, and interpersonal experience-and the failure of this network to function properly can lead to numerous neuropsychiatric disorders, including autism spectrum disorder, psychosis, and dementia. Presents the only publication available that summarizes our understanding of the salience network in one resourceAuthored by a leading research on this important aspect of attentionFocuses on the multiple sources of stimuli that compete for our attention, providing interesting discussions on how the relative salience-importance or prominence-of each of these inputs determines which ones we choose to focus on for more in-depth processing
Septins provides established septin and molecular and developmental biologists and researchers new to the field with proven, state-of-art techniques and relevant historical background and theory to aid efficient design and effective implementation of experimental methodologies. Topics include the purification of septin proteins from diverse systems, their visualization in live cells, and their analysis by a variety of cutting-edge microscopy approaches. Provides the latest information on septinsIncludes both established and new technologies Brings together specialists from the field who contribute their expertise
Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.Demonstrates the application of cutting-edge machine learning techniques to medical imaging problemsCovers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomicsFeatures self-contained chapters with a thorough literature reviewAssesses the development of future machine learning techniques and the further application of existing techniques
DNA Repair and Cancer Therapy: Molecular Targets and Clinical Applications, Second Edition provides a comprehensive and timely reference that focuses on the translational and clinical use of DNA repair as a target area for the development of diagnostic biomarkers and the enhancement of cancer treatment. Experts on DNA repair proteins from all areas of cancer biology research take readers from bench research to new therapeutic approaches. This book provides a detailed discussion of combination therapies, in other words, how the inhibition of repair pathways can be coupled with chemotherapy, radiation, or DNA damaging drugs. Newer areas in this edition include the role of DNA repair in chemotherapy induced peripheral neuropathy, radiation DNA damage, Fanconi anemia cross-link repair, translesion DNA polymerases, BRCA1-BRCA2 pathway for HR and synthetic lethality, and mechanisms of resistance to clinical PARP inhibitors.
Conquering RAS: From Biology to Cancer Therapy provides introductory knowledge on how modern RAS biology is taking shape in light of newer technological development. Each chapter is written in a manner that emphasizes simplicity and readability for both new investigators and established researchers. While RAS biology has been intensively studied for more than three decades, we are yet to see any effective therapeutics that could interfere in the signaling cascade regulated by this master oncogene. The book covers topics ranging from basic RAS biology, to translational biology and drug discovery applications. These topics will be appealing to basic researchers working in labs who seek deeper understanding of the modern concepts in RAS research. On the other side, the oncologist at the patient''s bedside will find the book useful as they routinely face the daunting task of treating patients that predominantly have a disease driven by oncogenic KRAS.Brings together wide ranging topics in RAS basic and translational biology for the scientific and clinical communitiesShowcases recent advancements in RAS research under one comprehensive volumeIncludes video clips, color illustrations, and important website links to facilitate a clear understanding of RAS in cancer research
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